Data Engineer

Pittsburgh, PAFull-TimeMid-levelSoftware Engineering

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Define and lead Govini's data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.
Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.
Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.
Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.
Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.
Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into Govini’s existing data engineering infrastructure.
Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.

U.S. Citizenship is required
Bachelor's degree in Computer Science, Mathematics or a related technical field
3-5 years experience with programmatically transforming data
Experience with RDBMS
Advanced SQL programming skills
Proficient usage of common data formats such as CSV, XML, and JSON
Requires strong analytical ability and attention to detail
Ability to work independently with little supervision
A burning desire to tackle hard problems and create sustainable solutions
Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
Experience in or exposure to the nuances of a startup or other entrepreneurial environment
Experience using Amazon Web Services
Experience in or exposure to the nuances of a startup or other entrepreneurial environment
Working knowledge with large (multiple terabytes) amounts of data